Papers
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks
He Jiang, Yangqiu Song, Chenguang Wang et al.
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning
Songlei Jian, Longbing Cao, Guansong Pang et al.
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training
Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi et al.
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
Ordinal Zero-Shot Learning
Zengwei Huo, Xin Geng
Incremental Matrix Factorization: A Linear Feature Transformation Perspective
Xunpeng Huang, Le Wu, Enhong Chen et al.
Cross-modal Common Representation Learning by Hybrid Transfer Network
Xin Huang, Yuxin Peng, Mingkuan Yuan
Multi-instance multi-label active learning
Sheng-Jun Huang, Nengneng Gao, Songcan Chen
Cost-Effective Active Learning from Diverse Labelers
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu et al.
Mention Recommendation for Twitter with End-to-end Memory Network
Haoran Huang, Qi Zhang, Xuanjing Huang
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization
Wenbo Hu, Jun Zhu, Hang Su et al.
Diversifying Personalized Recommendation with User-session Context
Liang Hu, Longbing Cao, Shoujin Wang et al.
Fast Recursive Low-rank Tensor Learning for Regression
Ming Hou, Brahim Chaib-draa
Storage Fit Learning with Unlabeled Data
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking
Jing He, Xin Li, Lejian Liao
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel
Jia He, Changying Du, Changde Du et al.
Online Multitask Relative Similarity Learning
Shuji Hao, Peilin Zhao, Yong Liu et al.
Self-paced Mixture of Regressions
Longfei Han, Dingwen Zhang, Dong Huang et al.
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
Junwei Han, Kai Xiong, Feiping Nie
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo et al.
Instability Prediction in Power Systems using Recurrent Neural Networks
Ankita Gupta, Gurunath Gurrala, Pidaparthy S Sastry
Improved Strong Worst-case Upper Bounds for MDP Planning
Anchit Gupta, Shivaram Kalyanakrishnan
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
Yunhui Guo, Congfu Xu, Hanzhang Song et al.
Synthesizing Samples for Zero-shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han et al.